Microsoft Azure Learning Path for 2024

Microsoft Azure is a comprehensive cloud computing platform offering a wide range of services for building, deploying, and managing applications. Here’s a structured learning path to master Microsoft Azure in 2024:

1. Introduction to Cloud Computing

  • Understanding Cloud Computing:
    • Basics of cloud computing.
    • Types of cloud services: IaaS, PaaS, SaaS.
    • Cloud deployment models: Public, Private, Hybrid.

2. Getting Started with Microsoft Azure

  • Introduction to Azure:
    • Overview of Microsoft Azure.
    • Azure global infrastructure.
    • Creating a free Azure account.
  • Azure Portal:
    • Navigating the Azure portal.
    • Understanding Azure Resource Manager (ARM).

3. Core Azure Services

  • Compute Services:
    • Virtual Machines (VMs).
    • Azure App Services.
    • Azure Kubernetes Service (AKS).
  • Storage Services:
    • Azure Blob Storage.
    • Azure Files.
    • Azure Disk Storage.
  • Networking Services:
    • Azure Virtual Network (VNet).
    • Azure Load Balancer.
    • Azure Application Gateway.

4. Data and Databases

  • Azure SQL Database:
    • Setting up and managing Azure SQL databases.
  • Azure Cosmos DB:
    • Working with a globally distributed database.
  • Azure Data Lake:
    • Big data storage and analytics.

5. Identity and Access Management

  • Azure Active Directory (AAD):
    • Managing users and groups.
    • Implementing single sign-on (SSO).
    • Role-based access control (RBAC).

6. Security and Compliance

  • Azure Security Center:
    • Monitoring and managing security.
  • Azure Key Vault:
    • Managing secrets, keys, and certificates.
  • Compliance:
    • Understanding Azure compliance offerings.

7. Azure DevOps

  • Introduction to Azure DevOps:
    • Azure DevOps Services overview.
  • Continuous Integration and Continuous Deployment (CI/CD):
    • Setting up CI/CD pipelines with Azure Pipelines.
  • Infrastructure as Code (IaC):
    • Using ARM templates and Azure Bicep.
    • Introduction to Terraform with Azure.

8. Machine Learning and AI

  • Azure Machine Learning:
    • Building and deploying machine learning models.
  • Cognitive Services:
    • Using pre-built AI services.
  • Azure Bot Service:
    • Creating and deploying chatbots.

9. Monitoring and Management

  • Azure Monitor:
    • Monitoring applications and infrastructure.
  • Azure Log Analytics:
    • Analyzing and querying logs.
  • Azure Automation:
    • Automating repetitive tasks.

10. Serverless Computing

  • Azure Functions:
    • Building and deploying serverless applications.
  • Azure Logic Apps:
    • Creating automated workflows.

11. Cost Management and Optimization

  • Azure Cost Management:
    • Monitoring and controlling Azure spending.
  • Azure Reservations and Savings Plans:
    • Reducing costs with reservations and savings plans.

12. Certifications and Exam Preparation

  • Azure Fundamentals (AZ-900):
    • Basic understanding of Azure services and concepts.
  • Azure Administrator (AZ-104):
    • Managing Azure resources and services.
  • Azure Developer (AZ-204):
    • Developing solutions for Azure.
  • Azure Solutions Architect (AZ-305):
    • Designing Azure infrastructure solutions.
  • Specialty Certifications:
    • Focused certifications like Azure Security Engineer, Data Engineer, AI Engineer, etc.

Resources

  • Official Documentation: Microsoft Azure Documentation
  • Practice Labs:
    • Use platforms like Microsoft Learn Sandbox, A Cloud Guru, and Cloud Academy for hands-on practice.

By following this learning path, you will gain a comprehensive understanding of Microsoft Azure and be well-prepared to leverage its services for various cloud computing needs in 2024 and beyond.

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Sonu

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